A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

Fault detection and diagnosis for dynamic system based on GAN and independent subspace reconstruction

imbalanced fault diagnosis

Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant Working Conditions

Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.

These codes realize data transformation and simple data processing for fault diagnosis.